Long-Term Memory

Workspace t1 is a CYB50 30-minute quant research project centered on T+1 trading and market-environment filtering.
The repo currently has weak structure: research scripts, production-like reporting scripts, generated CSVs, and exploratory outputs all live in the root directory.
There is a notable encoding/mojibake problem in several Python files, which will make future maintenance and rule verification error-prone.
The core strategy pipeline remains: dual-direction base signals and execution, then long-only extraction, T+1 conversion, environment labeling, and a higher-level scoring/filtering layer for final backtests and reports.
Active optimization work now lives in sibling workspace t2, while t1 remains the untouched baseline.
The current research target is to map the raw 30-minute T1 strategy's “comfort zones” and “dark zones” using higher-level indicators such as daily and weekly context, then turn those maps into explicit optimization rules.